Director, Predictive Analytics and AI Job at BioLife Plasma Services (Cambridge)

Job Description

Join Takeda as a Director, Predictive Analytics and AI out of our Cambridge, MA office. We are seeking a visionary Director to lead our Data Science team, transforming pharmaceutical commercialization with advanced data science and AI. In this strategic, hands-on role, you will drive innovation in predictive modeling, machine learning models, agentic AI, and generative AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement. You will empower a top-tier data science team through mentorship and development, accelerating cutting-edge AI/ML solution delivery. This position requires strong technical expertise, business acumen, and creative strategy to translate sophisticated analytics into actionable business solutions, delivering commercial excellence in areas such as trialist identification, patient segmentation, next-best-action (NBA), target prioritization dynamic targeting, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders. The leader brings a consultative approach to partnering with stakeholders to identify new business opportunities, develop advanced analytic insights informing strategies, and drive AI/ML & data driven decision making for business growth. You will collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production-ready environments with clear plans to measure effectiveness.

Job Responsibility

Advance Data Science and AI capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations
Advance Predictive Analytics for US. GI, NS, PDT, and Rare Disease Franchises, including new product launches or indications
Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use cases and integrate predictive model-driven decisioning into business decisions
Strategic Leadership: Develop and execute a future-oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges
Predictive Modeling & AI Innovation: Design and deploy predictive models—including logistic regression, ensemble methods, and other machine learning algorithms—for key applications such as trialist identification, patient segmentation, next-best-action (NBA), and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events, identify undiagnosed / misdiagnosed patients to drive targeted HCP engagements. Create scalable, reusable frameworks for AI and machine learning experimentation and deployment across multiple therapeutic areas
Cross-Functional Partnership: Collaborate as a key thought partner with cross-functional teams—including Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs—to drive business impact. Develop creative strategies to ensemble multiple third-party patient data sets, enhancing coverage and precision in patient identification and predictive segmentations
Mentor and develop talent: Cultivate a high-performing team of data scientists by promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence. Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing
GenAI and Agentic AI Initiatives: Establish and lead GenAI and Agentic AI initiatives that are strategically aligned with CA&I goals. Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies
Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic and AI models providing continuous insights into execution optimization, and industry developments
Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads - leading data science driven discussions and translating business needs into appropriate predictive modeling strategies
Vendor & Project Management: Manage relationships with trusted vendor partners for outsourced project work and ensure high-quality, timely deliverables. Oversee project timelines and budgets, utilizing project management tools for tracking progress

Requirements

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, Economics or a related field required
10+ years of hands-on experience in AI/ML modeling, with at least 5 years in pharmaceutical commercial analytics required
Prior people management experience required
Strong technical expertise in machine learning, NLP, and recommendation systems
Experience with pharma data (e.g., IQVIA, Veeva, SP & claims) and strong understanding of compliance and privacy considerations
Proficiency in Artificial Intelligence, with demonstrated expertise in establishing GenAI (Generative AI) and Agentic AI methodologies and solutions
Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP)
Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
Strong project management skills, with the ability to manage multiple projects simultaneously
Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels
Demonstrated ability to create an environment that inspires and enables people to move the organization forward
Excellent communication and collaboration skills, fostering strong relationships across departments
Flexibility to adapt to changing business needs and evolving technology landscapes
Travel requirement 15%-occasional domestic overnight travel may be required

What we offer

short-term and/ or long-term incentives
medical, dental, vision insurance
401(k) plan and company match
short-term and long-term disability coverage
basic life insurance
tuition reimbursement program
paid volunteer time off
company holidays
well-being benefits
up to 80 hours of sick time per calendar year
up to 120 hours of paid vacation (accrued by new hires)

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Director, Predictive Analytics and AI

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